.

import pandas as pd
 
from ipyvizzu import Data, Config, Style
from ipyvizzustory import Story, Slide, Step
 
 
# Create data object, read csv to data frame and add data frame to data object
data = Data()
df = pd.read_csv(
    "https://ipyvizzu-story.vizzuhq.com/0.9/examples/population/population.csv",
    dtype={"Year": str},
)
data.add_df(df)
 
 
# Create story object, add data to it
story = Story(data=data)
 
# Set the size of the HTML element
# that appears within the notebook
story.set_size("100%", "400px")
 
# Switch on the tooltip that appears
# when the user hovers the mouse over a chart element
story.set_feature("tooltip", True)
 
 
# Each slide here is a page in the final interactive story
# Add the first slide
slide1 = Slide(
    Step(
        Data.filter("record.Continent == 'Africa'"),
        Config.stackedArea(
            {
                "x": "Year",
                "y": "Medium",
                "stackedBy": "Subregion",
                "title": "Population of Africa 1953-2098",
            }
        ),
        Style({"plot": {"xAxis": {"label": {"angle": 2.0}}}}),
    )
)
# Add the slide to the story
story.add_slide(slide1)
 
slide2 = Slide(
    Step(
        Config.percentageArea(
            {
                "x": "Year",
                "y": "Medium",
                "stackedBy": "Subregion",
            }
        ),
    )
)
story.add_slide(slide2)
 
slide3 = Slide(
    Step(
        Config.stream(
            {
                "x": "Year",
                "y": "Medium",
                "stackedBy": "Subregion",
            }
        ),
    )
)
story.add_slide(slide3)
 
slide4 = Slide(
    Step(
        Config.violin(
            {
                "x": "Year",
                "y": "Medium",
                "splittedBy": "Subregion",
            }
        ),
    )
)
story.add_slide(slide4)
 
 
# Play the created story!
story.play()